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Using Dynamic Neural Networks to Model the Speed-Accuracy Trade-Off in People

Neural networks have been shown to exhibit remarkable object recognition performance. We ask here whether such networks can provide a useful model for how people recognize objects. Human recognition time varies, from 0.1 to 10 s, depending on the …

Reinforcement Learning and its Connections with Neuroscience and Psychology

Reinforcement learning methods have recently been very successful at performing complex sequential tasks like playing Atari games, Go and Poker. These algorithms have outperformed humans in several tasks by learning from scratch, using only scalar …